{"title":"Hotel Recommendation based on Review Analysis by Considering Tourism Needs","authors":"Yuanyuan Wang","doi":"10.1109/imcom53663.2022.9721727","DOIUrl":null,"url":null,"abstract":"Nowadays, people often use sightseeing sites on the Web as a means of gaining information on travel destinations to make travel plans by a comprehensive judgment of information such as users’ reviews and ratings. However, this information is limited to either tourist spots or hotel facilities, and it does not consider the relationships between them. In addition, sightseeing sites such as Tripadvisor and Yahoo! Travel, provide hotel facility rankings based on popularity or rating, they are not considering complaints about hotel facilities or tourism needs. In this work, we focus on the relationships between tourist spots and hotel facilities and extract the relationships between tourist spots and hotel facilities based on location information, the reviews and ratings of hotel facilities, and the physical distance between the tourist spot and each hotel facility. Therefore, we propose a method to recommend users with a ranking of the most suitable hotel facilities for a certain tourist spot, to support efficient travel planning. It allows users to detect hotel facilities in the surroundings while searching for tourist spots. Finally, we compared the distance calculation methods and evaluated the usefulness of our proposed hotel facility recommendation method by a questionnaire survey.","PeriodicalId":367038,"journal":{"name":"2022 16th International Conference on Ubiquitous Information Management and Communication (IMCOM)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 16th International Conference on Ubiquitous Information Management and Communication (IMCOM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/imcom53663.2022.9721727","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Nowadays, people often use sightseeing sites on the Web as a means of gaining information on travel destinations to make travel plans by a comprehensive judgment of information such as users’ reviews and ratings. However, this information is limited to either tourist spots or hotel facilities, and it does not consider the relationships between them. In addition, sightseeing sites such as Tripadvisor and Yahoo! Travel, provide hotel facility rankings based on popularity or rating, they are not considering complaints about hotel facilities or tourism needs. In this work, we focus on the relationships between tourist spots and hotel facilities and extract the relationships between tourist spots and hotel facilities based on location information, the reviews and ratings of hotel facilities, and the physical distance between the tourist spot and each hotel facility. Therefore, we propose a method to recommend users with a ranking of the most suitable hotel facilities for a certain tourist spot, to support efficient travel planning. It allows users to detect hotel facilities in the surroundings while searching for tourist spots. Finally, we compared the distance calculation methods and evaluated the usefulness of our proposed hotel facility recommendation method by a questionnaire survey.